触觉探针:机械化触觉探测和自动化建模

V. Patoglu, R. Gillespie
{"title":"触觉探针:机械化触觉探测和自动化建模","authors":"V. Patoglu, R. Gillespie","doi":"10.1109/HAPTIC.2003.1191250","DOIUrl":null,"url":null,"abstract":"It seems likely that humans build internal models of objects that they explore haptically, and that the complexity of an internal model is not necessarily associated with complex exploratory procedures or the existence of visual input. Can a robot build a model of an object it touches or presses, and if so, can that model be used to render the object through a haptic interface? Or even simpler can a robot estimate parameter values for a model already provided using data produced only by haptic exploration? This paper addresses the problem of parameter identification of hybrid dynamical systems, a class which contains systems of objects which make and break contact with one another We propose the use of a hybrid sensitivity model as a basis for the construction of parameter identification algorithms. We distinguish between two components of a hybrid sensitivity model: sensitivity of states and sensitivity of switching instants to parameter variation, and we present two algorithms, one essentially based on each type of sensitivity. Simulation results demonstrating each algorithm are also presented.","PeriodicalId":177962,"journal":{"name":"11th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2003. HAPTICS 2003. Proceedings.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The haptic probe: mechanized haptic exploration and automated modeling\",\"authors\":\"V. Patoglu, R. Gillespie\",\"doi\":\"10.1109/HAPTIC.2003.1191250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It seems likely that humans build internal models of objects that they explore haptically, and that the complexity of an internal model is not necessarily associated with complex exploratory procedures or the existence of visual input. Can a robot build a model of an object it touches or presses, and if so, can that model be used to render the object through a haptic interface? Or even simpler can a robot estimate parameter values for a model already provided using data produced only by haptic exploration? This paper addresses the problem of parameter identification of hybrid dynamical systems, a class which contains systems of objects which make and break contact with one another We propose the use of a hybrid sensitivity model as a basis for the construction of parameter identification algorithms. We distinguish between two components of a hybrid sensitivity model: sensitivity of states and sensitivity of switching instants to parameter variation, and we present two algorithms, one essentially based on each type of sensitivity. Simulation results demonstrating each algorithm are also presented.\",\"PeriodicalId\":177962,\"journal\":{\"name\":\"11th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2003. HAPTICS 2003. Proceedings.\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"11th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2003. HAPTICS 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HAPTIC.2003.1191250\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"11th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2003. HAPTICS 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HAPTIC.2003.1191250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

人类似乎有可能通过触觉探索建立物体的内部模型,而内部模型的复杂性并不一定与复杂的探索过程或视觉输入的存在有关。机器人可以为它触摸或按压的物体建立模型吗?如果可以,这个模型可以通过触觉界面来渲染物体吗?或者更简单地说,机器人能否仅使用触觉探索产生的数据来估计已经提供的模型的参数值?本文讨论了混合动力系统的参数辨识问题,混合动力系统是一类包含相互接触和断开接触的对象的系统。我们提出使用混合灵敏度模型作为构造参数辨识算法的基础。我们区分了混合灵敏度模型的两个组成部分:状态灵敏度和切换时刻对参数变化的灵敏度,并提出了两种算法,一种基本上基于每种灵敏度。并给出了各算法的仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The haptic probe: mechanized haptic exploration and automated modeling
It seems likely that humans build internal models of objects that they explore haptically, and that the complexity of an internal model is not necessarily associated with complex exploratory procedures or the existence of visual input. Can a robot build a model of an object it touches or presses, and if so, can that model be used to render the object through a haptic interface? Or even simpler can a robot estimate parameter values for a model already provided using data produced only by haptic exploration? This paper addresses the problem of parameter identification of hybrid dynamical systems, a class which contains systems of objects which make and break contact with one another We propose the use of a hybrid sensitivity model as a basis for the construction of parameter identification algorithms. We distinguish between two components of a hybrid sensitivity model: sensitivity of states and sensitivity of switching instants to parameter variation, and we present two algorithms, one essentially based on each type of sensitivity. Simulation results demonstrating each algorithm are also presented.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信